Abstract
to identify risk clusters for the occurrence of tuberculosis and its treatment outcomes. ecological study, in a city in Maranhão, using data from the Notifiable Diseases Information System. Point density analysis and isotonic scanning techniques were used to identify areas with the highest occurrence of treatment outcomes and identify risk areas for possible tuberculosis cases. most tuberculosis cases occurred in the male, adult, brown-skinned population. Also, most of the reported cases were classified as pulmonary and as new cases that progressed to a cure. The areas with the highest density of cure, death and abandonment are located in the central region of the city. the central region of the urban area of the city, with high demographic density and poor sanitary and socioeconomic conditions, presented a greater cluster of tuberculosis cases.
Highlights
The spatial distribution of endemic diseases, including tuberculosis, is currently the object of studies of geographic epidemiology
The use of technologies based on geographic information systems can contribute to the understanding of the distribution dynamics of disease cases, including tuberculosis, since it can facilitate the identification of areas or places at risk[4]
Through the Kernel density estimation, it was possible to identify that the areas with the highest density of cure, death and abandonment were located in the central region of the municipality (Figure 1)
Summary
The spatial distribution of endemic diseases, including tuberculosis, is currently the object of studies of geographic epidemiology. The use of technologies based on geographic information systems can contribute to the understanding of the distribution dynamics of disease cases, including tuberculosis, since it can facilitate the identification of areas or places at risk[4]. These technologies can be an important tool for the management and planning of health policies or programs, supporting strategies for tuberculosis control and prevention[5]. This national policy is responsible for actions of surveillance, prevention and control of communicable diseases, as well as for the analysis of the health situation of the Brazilian population[6]
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